O'Reilly on Data

AUGUST 24, 2018

Mark Hansen explains how computation has forever changed the practice of journalism. Continue reading The reporter’s notebook.

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113

Peter James Thomas

AUGUST 22, 2018

© Randall Munroe of xkcd.com – Image adjusted to fit dimensions of this page. Work by the inimitable Randall Munroe, author of long-running web-comic, xkcd.com , has been featured (with permission) multiple times on these pages [1]. The above image got me thinking that I had not penned a data visualisation article since the series starting with Hurricanes and Data Visualisation: Part I – Rainbow’s Gravity nearly a year ago.

Sales 73

Sales Statistics IT Publishing 73

Birst BI

AUGUST 23, 2018

How many times have you wished for more hours in the day so you can complete more tasks? A key goal of AI or machine learning automation is to have machines complete tasks for you, freeing up time so you can focus on the more complex, higher-value tasks. However, there are simply not enough data scientists in the world to deliver on the AI potential.

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

IBM Big Data Hub

AUGUST 21, 2018

On September 13, Rob Thomas together with ESPN anchor Hannah Storm, will lead a discussion around the transformative potential of AI, the importance of a multi-cloud architecture — and how companies representing a range of industries – from manufacturing to health care — are winning with AI. Attend in person in NYC and enjoy intimate networking and learning sessions – or alternatively catch the Livestream from your home or office.

Manufacturing 72

Manufacturing 72

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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

Optimization

O'Reilly on Data

AUGUST 24, 2018

Julia Meinwald outlines effective ways to support the unseen labor maintaining a healthy open source ecosystem. Continue reading Why contribute to open source?

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Peter James Thomas

AUGUST 18, 2018

No this article has not escaped from my Maths & Science section , it is actually about data matters. But first of all, channeling Jennifer Aniston [1] , “here comes the Science bit – concentrate” Shared Shapes. The Theory of Common Descent holds that any two organisms, extant or extinct, will have a common ancestor if you roll the clock back far enough.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

IBM Big Data Hub

AUGUST 21, 2018

The forces of nature can be unpredictable. Businesses & organizations can pull substantial value our of weather data through advanced analytics, machine learning & AI.

Analytics 45

Analytics Machine Learning 45

O'Reilly on Data

AUGUST 24, 2018

Luciano Resende explores some of the open source initiatives IBM is leading in the Jupyter ecosystem. Continue reading Jupyter in the enterprise.

Enterprise 101

Enterprise 101

Peter James Thomas

AUGUST 22, 2018

The interviews that I conduct with leaders in their fields as part of my “In-depth” series have hopefully brought a new and interesting aspect to this site. However, often the boot is on the other foot and I am the person being interviewed about my experience and expertise in the data field and related matters [1]. Maybe interviewing other people helps me when I am in turn interviewed, maybe it’s the other way round.

Data-driven 42

Data-driven Data Processing Publishing Enterprise 42

DSI Analytics

AUGUST 24, 2018

Title: Driving Digital Strategy: A Guide to Reimagining Your Business This book was published by HBR Press on July 24, 2018 Author: SUNIL GUPTA is the Edward W. Carter Professor of Business at Harvard Business School, where he is the chair of the General Management Program and co-chair of the executive program on Driving Digital […]. The post Review of “Driving Digital Strategy” (HBR Press) Part 1 appeared first on DSI Analytics.

Strategy 40

Strategy Publishing Management Analytics 40

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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence

Hurwitz & Associates

AUGUST 23, 2018

By Jean S. Bozman. IBM is targeting multicloud storage as a growth area for its IBM Storage systems and IBM software-defined storage products. On Aug. 14, 2018, the company expanded multicloud support across its portfolio of software-defined infrastructure (SDI) solutions. The announcements build on earlier IBM Storage announcements for products, features and solutions for simplified backup and recovery, object storage through IBM Cloud Object Storage, and support for scalable clusters in cloud

Data Processing 40

Data Processing Machine Learning Software Enterprise 40

O'Reilly on Data

AUGUST 24, 2018

Carol Willing shows how Jupyter's challenges can be addressed by embracing complexity and trusting others. Continue reading Sustaining wonder: Jupyter and the knowledge commons.

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101

Nutanix

AUGUST 21, 2018

The heartbeat of a company is its people. With greater diversity, comes greater opportunity too, as was famously said by Malcolm Forbes, the American entrepreneur, “think independently together,” and attack business challenges from a variety of valuable perspectives.

IT 20

IT 20

O'Reilly on Data

AUGUST 24, 2018

Watch keynotes covering Jupyter's role in business, data science, higher education, open source, journalism, and other domains, from JupyterCon in New York 2018. People from across the Jupyter community are coming together in New York for JupyterCon. Below you'll find links to keynotes from the event. All the cool kids are doing it, maybe we should too?

Machine Learning 109

Machine Learning Data Science Data-driven Enterprise 109

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Data-driven